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User to User QoE Routing System

  • Hai Anh Tran
  • Abdelhamid Mellouk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6649)

Abstract

Recently, wealthy network services such as Internet protocol television (IPTV) and Voice over IP (VoIP) are expected to become more pervasive over the Next Generation Network (NGN). In order to serve this purpose, the quality of these services should be evaluated subjectively by users. This is referred to as the quality of experience (QoE). The most important tendency of actual network services is maintaining the best QoE with network functions such as admission control, resource management, routing, traffic control, etc. Among of them, we focus here on routing mechanism. We propose in this paper a protocol integrating QoE measurement in routing paradigm to construct an adaptive and evolutionary system. Our approach is based on Reinforcement Learning concept. More concretely, we have used a least squares reinforcement learning technique called Least Squares Policy Iteration. Experimental results showed a significant performance gain over traditional routing protocols.

Keywords

Quality of Service (QoS) Quality of Experience (QoE) Network Services Inductive Routing System 

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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Hai Anh Tran
    • 1
  • Abdelhamid Mellouk
    • 1
  1. 1.Image, Signal and Intelligent Systems Lab-LiSSi LabUniversity of Paris-Est Creteil Val de Marne (UPEC)Vitry sur SeineFrance

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